Life Sciences Commons^™

The Climate-Smart Village Approach: Framework Of An Integrative Strategy For Scaling Up Adaptation Options In Agriculture, Pramod K. Aggarwal, Andy Jarvis, Bruce M. Campbell, Robert B. Zougmoré, Arun Khatri-Chhetri, Sonja J. Vermeulen, Ana Maria Loboguerrero, Leocadio S. Sebastian, James Kinyangi, Osana Bonilla-Findji, Maren Radeny, John Recha, Deissy Martinez-Baron, Julian Ramirez-Villegas, Sophia Huyer, Philip Thornton, Eva Wollenberg, James Hansen, Patricia Alvarez-Toro, Andrés Aguilar-Ariza, David Arango-Londoño, Victor Patiño-Bravo, Ovidio Rivera, Mathieu Ouedraogo, Bui Tan Yen

Rubenstein School of Environment and Natural Resources Faculty Publications

Increasing weather risks threaten agricultural production systems and food security across the world. Maintaining agricultural growth while minimizing climate shocks is crucial to building a resilient food production system and meeting developmental goals in vulnerable countries. Experts have proposed several technological, institutional, and policy interventions to help farmers adapt to current and future weather variability and to mitigate greenhouse gas (GHG) emissions. This paper presents the climate-smart village (CSV) approach as a means of performing agricultural research for development that robustly tests technological and institutional options for dealing with climatic variability and climate change in agriculture using participatory methods. It …

Remote Sensing Methods And Applications For Detecting Change In Forest Ecosystems, David James Gudex-Cross

Graduate College Dissertations and Theses

Forest ecosystems are being altered by climate change, invasive species, and additional stressors. Our ability to detect these changes and quantify their impacts relies on detailed data across spatial and temporal scales. This dissertation expands the ecological utility of long-term satellite imagery by developing high quality forest mapping products and examining spatiotemporal changes in tree species abundance and phenology across the northeastern United States (US; the ‘Northeast’).

Species/genus-level forest composition maps were developed by integrating field data and Landsat images to model abundance at a sub-pixel scale. These abundance maps were then used to 1) produce a more detailed, accurate …